建設におけるひび割れ検出のためのリアルタイムモバイルロボットシステム：2段階ディープラーニング活用
Emmanuella Ogun1, Yong Ann Voeurn2, Doyun Lee2
1Mechanical Engineering Department, Georgia Southern University, Statesboro, GA 30460, USA.
Sensors (Basel, Switzerland)
|January 28, 2026
まとめ
本研究では、自動ひび割れ検出と自律ナビゲーションのためのディープラーニングを活用した、インフラ検査用のリアルタイムロボットシステムを紹介します。このシステムは、マイクロクラックを検出し、公共の安全と検査の効率を向上させます。
背景:
- 土木インフラの劣化は、公共の安全に重大なリスクをもたらします。
- 手作業による検査は主観的で、労働集約的であり、アクセス性に限界があります。
- これらの限界を克服するには、自動検査システムが必要です。
結論:
- 提案されたロボットシステムは、フィールド展開可能なインフラ検査のための堅牢で自律的なソリューションを提供します。
- ディープラーニングの統合は、自動ひび割れ検出能力を大幅に向上させます。
- このシステムは、インフラの監視と保守の実践に革命をもたらす可能性を秘めています。
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